Predicted Genetic Gain Report

Summary metrics

The following table allows you to review the different metrics calculated for the genetic gain analysis. You can filter the metrics using the search bar.

Predicted genetic gain

The following density plot allows you to see the expected change in the next generation compared to the current generation given the current genetic gain parameters (accuracy, intensity, genetic variance) obtained in a particular MET for the selected traits.

 

Selection differentials and expected response

DM_gravity

yield_ha

height_1st_branch

Barplot for metrics

The following barplot allows you to compare the parameters with respect to the classification variables.

 

DM_gravity

r
r2
sigmaG
meanG
max.G
cycleLength
i
R
PGG
nEnvs
nInds
nIndsSel

yield_ha

r
r2
sigmaG
meanG
max.G
cycleLength
i
R
PGG
nEnvs
nInds
nIndsSel

height_1st_branch

r
r2
sigmaG
meanG
max.G
cycleLength
i
R
PGG
nEnvs
nInds
nIndsSel

References of methods used

Lush, J. L. (2013). Animal breeding plans. Read Books Ltd.

Mrode, R. A. (2014). Linear models for the prediction of animal breeding values. Cabi.

R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.